Identification of Chemical-Genetic Interactions via Parallel Analysis of Barcoded Yeast Strains.

作者: Sundari Suresh , Ulrich Schlecht , Weihong Xu , Molly Miranda , Ronald W. Davis

DOI: 10.1101/PDB.PROT088054

关键词: Saccharomyces cerevisiaeGeneHaploinsufficiencyGenomic libraryBiologyComputational biologyYeastBioinformaticsIn vivoChemical biologySelectable marker

摘要: The Yeast Knockout Collection is a complete set of gene deletion strains for the budding yeast, Saccharomyces cerevisiae In each strain, one approximately 6000 open-reading frames replaced with dominant selectable marker flanked by two DNA barcodes. These barcodes, which are unique to gene, allow growth thousands be individually measured from single pooled culture. collection, and other resources that followed, has ushered in new era chemical biology, enabling unbiased systematic identification chemical-genetic interactions (CGIs) remarkable ease. CGIs link bioactive compounds biological processes, hence can reveal mechanism action growth-inhibitory vivo, including those antifungal, antibiotic, anticancer drugs. chemogenomic profiling method described here measures sensitivity induced yeast heterozygous homozygous presence inhibitor (termed haploinsufficiency profiling, respectively, or HIPHOP). protocol both scalable amenable automation. After competitive knockout collection cultures, without inhibitors, identified quantified using either array- sequencing-based approaches as here.

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